政府对公共数据资源进行数据治理是一场推动治理结构、服务模式、治理决策和绩效评估的变革,但由于目前尚处于粗放式的管理阶段,存在着共享平台“统”而不“通”、业务信息“拥”而难“用”、数据资源“汇”而不“惠”以及管理制度“兴”而难“新”等问题,亟需由粗放式管理模式转变为精细化治理模式,切实做到数据采集精确化、数据储存标准化和数据应用高质化。 Government data governance of public data resources is a change that promotes the governance structure, service model, governance decision-making and performance evaluation. However, due to the extensive management stage, there exists a shared platform “system” instead of “ Problems such as ”business information“, ”ownership“ and ”difficult“ ”use“, data resources ”remittance“ instead of ”benefit“ and management system ”rejuvenating“ and ”difficult“ ”new" , It is imperative to shift from extensive management mode to refined management mode, so as to effectively achieve data collection precision, data storage standardization and data application quality.